Nanotom

Nanotom is a comprehensive project designed to leverage nanotechnology for various innovative applications. This project focuses on the integration of cutting-edge nanotech with IoT (Internet of Things) and AI (Artificial Intelligence) to develop smart solutions for different industries, including healthcare, agriculture, and environmental monitoring.

Features

• Nanotechnology Integration: Utilizes nanotech devices for enhanced sensing and monitoring capabilities.
• IoT Connectivity: Connects nanotech sensors to the cloud for real-time data collection and analysis.
• AI-Powered Analytics: Employs AI algorithms to analyze data from nanotech sensors, providing actionable insights.
• User-Friendly Interface: Offers a web-based interface for monitoring and managing nanotech devices and data.
• Cross-Industry Applications: Applicable to healthcare, agriculture, environmental monitoring, and more.

Technologies Used

• Backend: Python, Django
• Frontend: HTML, CSS, JavaScript
• Database: PostgreSQL
• IoT Integration: Various IoT devices and protocols
• Machine Learning: TensorFlow, Scikit-learn
• Real-Time Data: WebSockets for real-time data transmission

Installation and Setup

Prerequisites

• Python 3.x
• Node.js
• npm (Node Package Manager) or yarn
• PostgreSQL

Steps

1. Clone the Repository

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   git clone https://github.com/NagiPragalathan/Nanotom.git cd Nanotom

2. Backend Setup

   • Install Python dependencies:

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     pip install -r requirements.txt

   • Configure PostgreSQL database in settings.py.

   • Run migrations:

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     python manage.py migrate

   • Start the Django development server:

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     python manage.py runserver

3. Frontend Setup

   • Navigate to the frontend directory:

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     cd frontend

   • Install Node.js dependencies:

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     npm install

   • Start the React development server:

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     npm start

4. Access the Platform

   Open your browser and navigate to http://localhost:3000 for the frontend and http://localhost:8000 for the backend.

Project Structure

java

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Nanotom/
├── backend/
│   ├── nanotom/
│   │   ├── __init__.py
│   │   ├── settings.py
│   │   ├── urls.py
│   │   ├── wsgi.py
│   │   └── asgi.py
│   ├── sensors/
│   ├── users/
│   ├── analytics/
│   ├── tests/
│   └── manage.py
├── frontend/
│   ├── public/
│   ├── src/
│   │   ├── components/
│   │   ├── pages/
│   │   ├── services/
│   │   ├── App.js
│   │   ├── index.js
│   │   └── styles/
├── README.md
├── requirements.txt
└── package.json

Usage

• Dashboard: Access a comprehensive dashboard to monitor nanotech sensors, view analytics, and manage devices.
• Real-Time Monitoring: View real-time data from connected nanotech devices.
• Data Analytics: Analyze collected data using built-in AI algorithms to generate insights and reports.
• Device Management: Add, update, and manage connected IoT devices and sensors.

Contribution

Contributions to the Nanotom project are welcome! If you would like to contribute, please fork the repository and submit a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.